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Image: New AI models are capable of differentiating optimal from suboptimal chest radiographs (Photo courtesy of Freepik)

Point-of-Care AI for Chest X-Rays Accurately Classifies Optimal and Suboptimal Chest Radiographs

Radiologist-trained artificial intelligence (AI) models can accurately classify optimal and suboptimal chest radiographs, potentially enabling radiographers to repeat poor-quality scans when necessary. More...
11 Apr 2023
Image: The Micro C handheld dynamic digital radiographic X-ray system (Photo courtesy of OXOS)

World’s First Handheld, Dynamic Digital Radiographic Instrument Makes X-Ray Imaging More Accessible

Micro C, the world’s first handheld dynamic digital radiographic X-ray system, delivers unparalleled image sharpness and clarity in the smallest form factor, making X-ray more accessible and outperforming conventional X-ray solutions in terms of speed, safety, and intelligence. More...
07 Apr 2023
Sun Nuclear -    Mirion
Image: An image of a thin film multi-energy X-ray detector device (Photo courtesy of Exciton Science)

Printable X-Ray Detectors to Bring About Step-Change in Imaging Applications

The field of imaging applications could witness a significant advancement following the demonstration of a pathway to multi-energy X-ray detection with increased flexibility and sensitivity. The technology is based on solution-processed, printable diodes made utilizing perovskite thin films, a component generally associated with next-generation solar energy devices. More...
06 Apr 2023
Image: A new study supports the feasibility of full-time AI-based workflow in the ED (Photo courtesy of Pexels)

Imaging AI Can Alleviate Emergency Radiographic Workflow Constraints

Over the past few decades, emergency departments (EDs) worldwide have experienced increased workflow pressure and a corresponding rise in the demand for medical imaging around the clock, 7 days a week. Artificial intelligence (AI), specifically the application of deep learning in radiological imaging, has emerged as a potential solution to improve the ED workflow. More...
27 Mar 2023
Image: The ClearRead Xray deep learning algorithm allows clinicians to see beyond bone structure barriers (Photo courtesy of Riverain)

AI Algorithm Enables Radiologists to See Past Bones and Vessels in Chest X-Rays

Traditional X-rays can make it difficult to identify lung abnormalities due to the presence of the body's 12 sets of ribs and clavicles that obstruct the view of radiologists who are often limited by their visual observations. A unique suppression technology removes these obstructions from the image, thereby enabling radiologists to more effectively detect actionable nodules on frontal chest X-rays. More...
24 Mar 2023
Image: Artificial intelligence has the potential to automate hip fracture diagnosis (Photo courtesy of Pexels)

AI As Good As Expert Radiologists in Diagnosing Hip Fractures from X-Rays

New study findings suggest that AI has the potential to automate hip fracture diagnosis, although overly complex and uninterpretable AI models may not yield any significant benefits when it comes to predicting patient-specific outcomes compared to the traditional, interpretable models. More...
21 Mar 2023
Image: A study has found the use of generative models for augmenting and generating radiological data to be feasible (Photo courtesy of Charité University Berlin)

Novel AI Image Generation Tool Has Promising Future in Radiology

New research indicates that the DALL-E 2 deep learning model for text-to-image generation could have a bright future in health care, particularly for image generation, augmentation, and manipulation. More...
20 Mar 2023

The MedImaging Radiology channel covers fluoroscopy, digital radiography, computerized tomography, mammography, interventional radiology, and other medical uses of X-ray imaging as well as related instrumentation, trends and safety issues.
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